Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations
This thesis examines a two-way causal relationship between energy consumption and economic growth for two panel groups, i.e., low and lower-middle-income economies (Group 1) and high-income economies (Group 2), over 1990–2019 with quarterly datasets. Apart from the first objective, this thesis aims...
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| Format: | Thesis |
| Language: | English |
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2024
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| Online Access: | http://eprints.usm.my/63056/ http://eprints.usm.my/63056/1/Pages%20from%20SIM%20KHANG%20YI%20-%20TESIS.pdf |
| _version_ | 1848885145631719424 |
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| author | Sim, Khang Yi |
| author_facet | Sim, Khang Yi |
| author_sort | Sim, Khang Yi |
| building | USM Institutional Repository |
| collection | Online Access |
| description | This thesis examines a two-way causal relationship between energy consumption and economic growth for two panel groups, i.e., low and lower-middle-income economies (Group 1) and high-income economies (Group 2), over 1990–2019 with quarterly datasets. Apart from the first objective, this thesis aims to address various estimation issues related to long panel data that conventional panel models frequently overlook, covering nonstationary or cointegration, slope heterogeneity, cross-sectional dependence and dynamic effect. |
| first_indexed | 2025-11-15T19:17:57Z |
| format | Thesis |
| id | usm-63056 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:17:57Z |
| publishDate | 2024 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-630562025-10-24T03:19:18Z http://eprints.usm.my/63056/ Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations Sim, Khang Yi QA1-939 Mathematics This thesis examines a two-way causal relationship between energy consumption and economic growth for two panel groups, i.e., low and lower-middle-income economies (Group 1) and high-income economies (Group 2), over 1990–2019 with quarterly datasets. Apart from the first objective, this thesis aims to address various estimation issues related to long panel data that conventional panel models frequently overlook, covering nonstationary or cointegration, slope heterogeneity, cross-sectional dependence and dynamic effect. 2024-01 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/63056/1/Pages%20from%20SIM%20KHANG%20YI%20-%20TESIS.pdf Sim, Khang Yi (2024) Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations. PhD thesis, Universiti Sains Malaysia. |
| spellingShingle | QA1-939 Mathematics Sim, Khang Yi Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations |
| title | Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations |
| title_full | Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations |
| title_fullStr | Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations |
| title_full_unstemmed | Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations |
| title_short | Modelling The Nexus Between Energy-Economic Growth Using The Long Panel Data Estimations |
| title_sort | modelling the nexus between energy-economic growth using the long panel data estimations |
| topic | QA1-939 Mathematics |
| url | http://eprints.usm.my/63056/ http://eprints.usm.my/63056/1/Pages%20from%20SIM%20KHANG%20YI%20-%20TESIS.pdf |